Personal profile
Research interests
Research interests include visualizing complex data, automated data visualization, theoretical techniques for visualizing data, visualizing social networks, robotics AI.
Recently, I've been working on hand tracking, speech and gesture recognition to control software and hardware. My current project is focused on building a brain for a network of robots.
I'm currently leading the development of the Robotics AI lab in Computing and would be interested in any projects that contribute to Robotics and/or AI. Research in Human-Robot interaction is of particular interest. See our AI Robotics (AIR) Force team: https://almasb.github.io/RAI/
Scholarly biography
Almas completed his BSc Computer Science (Games) with 1st class Honours and the Postgraduate Certificate in Teaching and Learning in HE at the University of Brighton. Since then he has been teaching on Game Development and Software Engineering courses.
Almas completed his PhD in Computer Science at the University of Brighton and continues his research in Software Engineering and Computer Science. Almas is currently a Subject Co-Lead of the Computing and Mathematics subject area.
Approach to teaching
My approach to teaching involves striking a balance between theory and its practical use. I typically open with a leading question on a given topic to allow students to understand the process one takes to get to a software solution. This is followed by explaining the prerequsite theory and finished with remarks on implementation details.
I understand and appreciate that each student has their own approach to learning. Hence, for most topics featured in the lectures, I provide, in addition to standard lecture notes, written tutorials and online video materials. This allows students to cover the material at their own pace. Moreover, I frequently organise game jams and hackathons to enable students to practise their new skills and teamwork in a less formal environment.
YouTube channel: https://www.youtube.com/almasb0/videos
Open-source projects: https://github.com/AlmasB/
Supervisory Interests
I am particularly interested in implementation-driven projects that convert theory into practice that draw knowledge from the following areas: Computer Science (AI, Data Visualisation), Software Engineering, and Game Development. Recently, I've been working on hand tracking, gesture and speech recognition to control software and hardware. My current project is building a brain for robots. I'm leading the development of the Robotics AI lab in Computing and would be interested in any projects that contribute to Robotics and/or AI. See our AI Robotics (AIR) Force team: https://almasb.github.io/RAI/
Education/Academic qualification
PhD, Automated Visualization of Grouped Networks Using Euler Diagrams and Graphs
2015 → 2019
Award Date: 2 Jun 2020
Bachelor, Computer Science (Games), University of Brighton
2012 → 2015
Award Date: 31 Jul 2015
External positions
Game Development Community Manager at Foojay.io
Apr 2021 → …
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Collaborations and top research areas from the last five years
Research output
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A Dissection of Factors Influencing Face Recognition Technologies
Ezekiel, O. T., Hussain, S., Saeed, K., Baimagambetov, A. & Rab, S., 1 Oct 2025, Safe, Secure, Ethical, Responsible Technologies and Emerging Applications - 2nd EAI International Conference, SAFER-TEA 2024, Proceedings: Second EAI International Conference, SAFER-TEA 2024, Dubai, United Arab Emirates, December 9–10, 2024, Proceedings. Fachkha, C., Fung, B. C. M. & Tchakounté, F. (eds.). 1 ed. Cham: Springer, p. 201–218 18 p. (Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering).Research output: Chapter in Book/Conference proceeding with ISSN or ISBN › Conference contribution with ISSN or ISBN › peer-review
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A Review of Advances in Large Language and Vision Models for Robotic Manipulation: Techniques, Integrations, and Challenges
Hussain, S., Biswas, S., Dutta, A., Saad, M., Baimagambetov, A., Saeed, K. & Polatidis, N., 25 Jun 2025, In: SN Computer Science. 6, 588.Research output: Contribution to journal › Article › peer-review
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A Robust and Energy-Efficient Trajectory Planning Framework for High-Degree-Of-Freedom Robots
Hussain, S., Saad, M., Saeed, K. & Baimagambetov, A., Mar 2025.Research output: Contribution to conference › Abstract › peer-review
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Ethical AI prompt recommendations in large language models using collaborative filtering
Nelson, J., Baimagambetov, A., Avgerinakis, K. & Polatidis, N., 14 Oct 2025, In: International Journal of Parallel, Emergent and Distributed Systems. p. 1-12 12 p.Research output: Contribution to journal › Article › peer-review
Open AccessFile -
Integration of Multilingual NLP with 7-DOF Robotic Manipulation for Enhanced Domestic Task
Hussain, S., Mubarak, A., Saeed, K. & Baimagambetov, A., May 2025, (Accepted/In press).Research output: Contribution to conference › Paper › peer-review
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"Let's Play Together": state-of-the-art of JavaFX game development (at ZEISS, Germany)
Baimagambetov, A. (Presenter)
6 Mar 2024Activity: External talk or presentation › Invited talk
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Model-building & Analysis (at Massachusetts Institute of Technology)
Baimagambetov, A. (Presenter)
19 Apr 2022Activity: External talk or presentation › Invited talk
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FXGL: Cross-platform JavaFX Game Engine for Java and Kotlin (at Jetbrains Live Stream)
Baimagambetov, A. (Presenter)
21 Jul 2021Activity: External talk or presentation › Invited talk
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Introduction to FXGL - The High Performance Game Engine for Java (at New York Java SIG)
Baimagambetov, A. (Presenter)
22 Apr 2021Activity: External talk or presentation › Invited talk